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Smart Security Vehicles Leverage IoT to Capture and Share Data
With Internet of Things sensors and connectivity from MetTel, Brosnan Risk Consultants is monitoring the conditions in and around its security trucks, then sharing that data with customers to provide greater visibility into work being done by each of thousands of officers throughout the United States.
"Were able to connect into other sensors on the truck," Crandell says, "and pull that information back to their command center." That could include detecting sounds around that vehicle, or sudden impacts, as well as monitor conditions related to the truck's operation, such as its engine temperature. The sensor data can identify if a driver is accelerating or braking suddenly, or if it is driving at a high speed, as well as if the truck experiences an impact.
This data can not only be viewed in real time, but also be stored and managed for the purpose of historical analytics. For instance, the system can identify if a security officer is not following an expected route through his or her rounds for a customer. It can also detect if the pattern is becoming too predictable (which could offer an opportunity for bad actors to learn that pattern and thereby elude security officers when committing a crime).
Not only can Brosnan Risk Consultants use the collected data to improve its fleet oversight, but it can also share the information with its customers. "All of these data points are plugged into our internal and client-facing dashboards," Brosnan states, "to gain deeper insights into the duties our security officer is completing on shift and the overall security and safety of the client location."
Later this year, the MetTel solution will begin leveraging artificial intelligence (AI) technology to provide insight into what takes place in and around each vehicle, based on sensor data. For instance, the system could understand if a driver appeared to be falling asleep or was smoking a cigarette inside the vehicle—which is prohibited—based on camera data. The system could then trigger an alert to the driver via the app, as well as to management in the software or via text or e-mail, thereby correcting the behavior.
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